India · CBSE Learning Outcomes
Class 12 Computer Science
An advanced study of Python programming, data structures, and relational databases designed to prepare students for technical problem solving. This course bridges the gap between basic coding and professional software development practices while exploring the societal impacts of digital technology.
Computational Thinking and Programming
A deep dive into advanced Python concepts including functions, file handling, and scope. Focuses on writing modular code and managing persistent data storage.
Breaking complex problems into reusable functions while managing local and global variable scopes. Students learn to pass arguments and handle return values effectively.
Implementing data persistence using text, binary, and CSV files to store and retrieve information across program sessions.
Analyzing the performance of searching and sorting algorithms through the lens of computational complexity.
Data Structures in Practice
Exploration of linear data structures, specifically focusing on the implementation and application of Stacks using Python lists.
Understanding the Last-In-First-Out (LIFO) principle and implementing push, pop, and peek operations.
Using stacks to evaluate arithmetic expressions and manage recursive function calls.
Computer Networks and Connectivity
Understanding the architecture of the internet, networking devices, and protocols that enable global communication.
Comparing different physical and logical layouts of networks and the roles of routers, switches, and gateways.
Examining the layers of TCP/IP and how protocols like HTTP, FTP, and DNS facilitate web communication.
Identifying vulnerabilities in networks and implementing defense mechanisms like firewalls and encryption.
Database Management Systems
Mastering relational database concepts and Structured Query Language (SQL) to manage and manipulate large datasets.
Designing database schemas using keys, constraints, and relationships to minimize data redundancy.
Writing complex SQL commands for data definition, manipulation, and retrieval including joins and grouping.
Connecting Python applications to SQL databases to create dynamic, data driven software.
Societal Impacts of Computing
Analyzing the legal, ethical, and environmental consequences of digital technology in the modern world.
Discussing the balance between technological convenience and individual privacy rights.
Understanding Cyber Laws, IPR, and the difference between open source and proprietary software.
Evaluating the environmental footprint of digital devices and the importance of responsible recycling.
Capstone Project and Application
Synthesis of programming, networking, and database skills to develop a functional software solution for a real world problem.
Planning the architecture and user interface of a software system before implementation.
Learning to rigorously test software for bugs and documenting the code for future developers.